Design and motion analysis of soft robotic arm with pneumatic-network structure

Author:

Zhu YinlongORCID,Wang Tian,Gong Weizhuang,Feng Kai,Wang XuORCID,Xi Shuang

Abstract

Abstract Soft robotic arms have been widely explored in recent years because of their excellent flexibility and infinite degrees of freedom which distinguishes them form traditional rigid robots. This paper focuses on the design, fabrication and kinematic analysis of a new modular soft robotic arm featuring multiple segments, each one with three degrees of freedom. In contrast to most research, this paper utilizes soft pneu-net structure instead of fiber-reinforced structure, thereby preventing large local strains due to membrane pressurized against a fiber reinforcement. We employed finite element method and orthogonal experiment were to ascertain the optimal structural parameters. Furthermore, we present the kinematic model of the soft arm by the parameterization of the Denavit–Hartenberg convention under the basis of constant curvature assumption. Finally, the experimental evaluation of the soft robotic arm including bending angle, elongation, deflection and flexibility test were carried out. The experimental data, particularly concerning the bending angle and spatial position of both single modular and two-modular soft arm agree well with the finite element method simulation. Additionally, we performed both grasping and obstacle-avoidance grasping tests for dual modular soft robotic. The results demonstrate that the soft robotic arm exhibits superior performance and highlights its potential for various applications.

Funder

Jiangsu Province ‘six talent peaks‘high-level talent programme

National Natural Science Foundation of China funded projects

Natural Science Research Programme for Higher Education Institutions in Jiangsu Province

Publisher

IOP Publishing

Reference22 articles.

1. Additive manufacturing aimed to soft robots fabrication: a review;Stano;Extreme Mech. Lett.,2021

2. Reliable control for robotics—hardware resilience powered by software;Kropp,2021

3. Applications of solar PV systems in agricultural automation and robotics;Gorjian,2020

4. Advancement of sensors vision-based robotics (SVR) in precision farming: an imperative tool for crop productivity assurance;Karad;Indian J. Plant Prot.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3